We want to experiment with specific machine learning techniques or algorithms for 6G applications. In this case, meta learning provides us machine learning models which learn the metadata of a machine learning-based experiment. We want to merge general machine learning with meta-learning, that can lead to a smarter technology for future 6G applications and evolution of wireless mobile technology [1]}.
